CISP 357 - Introduction to Data Science

    Recent Professors
    Kevin Tse, Thanh-Thuy N. Dao
    Recent Semesters
    Summer 2026, Spring 2026, Fall 2025, Summer 2025, Spring 2025
    Class Size
    Not published
    Credits
    4
    Prerequisite
    None.
    Summer 2026 Sections
    View Summer 2026 sections of CISP 357
    Transfers To
    CSU
    Description
    This is an introductory course in programming and problem solving with an emphasis on data science using a programming language commonly used in the field (e.g., Python, R, SAS). Specific topics include programming fundamentals, data science components, process, and application. By learning core techniques of data science (e.g., preparation, cleaning, analyzing, and visualization), students also learn how to think critically about data ethics (e.g., what a data set represents and how it functions in different contexts). Credit may be earned for either CISD 357 or CISP 357, but not both. This course was formerly known as Introduction to Big Data.